source("http://bioconductor.org/biocLite.R")
biocLite("networkBMA")

networkBMA

Regression-based network inference using Bayesian Model Averaging

Bioconductor version: 2.13

An extension of Bayesian Model Averaging (BMA) for network construction using time series gene expression data. Includes assessment functions and sample test data.

Author: Chris Fraley, Ka Yee Yeung, Adrian Raftery (with contributions from Kenneth Lo and Chad Young)

Maintainer: Chris Fraley <fraley at stat.washington.edu>

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("networkBMA")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("networkBMA")

 

PDF	R Script	networkBMA
PDF		prc.pdf
PDF		roc.pdf
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	GraphsAndNetworks, NetworkInference, Software
Version	1.4.0
In Bioconductor since	BioC 2.11 (R-2.15)
License	GPL (>= 2)
Depends	R (>= 2.15.0), stats, utils, BMA
Imports
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me	DREAM4

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source	networkBMA_1.4.0.tar.gz
Windows Binary	networkBMA_1.4.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	networkBMA_1.4.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats